| On Combining Morphological Component Analysis and Concentric Morphology Model for Mammographic Mass Detection | |
| Gao, Xinbo1; Wang, Ying1; Li, Xuelong2; Tao, Dacheng3; X. Gao | |
| 2010-03-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
 |
| ISSN | 1089-7771 |
| 卷号 | 14期号:2页码:266-273 |
| 摘要 | Mammographic mass detection is an important task for the early diagnosis of breast cancer. However, it is difficult to distinguish masses from normal regions because of their abundant morphological characteristics and ambiguous margins. To improve the mass detection performance, it is essential to effectively preprocess mammogram to preserve both the intensity distribution and morphological characteristics of regions. In this paper, morphological component analysis is first introduced to decompose a mammogram into a piecewise-smooth component and a texture component. The former is utilized in our detection scheme as it effectively suppresses both structural noises and effects of blood vessels. Then, we propose two novel concentric layer criteria to detect different types of suspicious regions in a mammogram. The combination is evaluated based on the Digital Database for Screening Mammography, where 100 malignant cases and 50 benign cases are utilized. The sensitivity of the proposed scheme is 99% in malignant, 88% in benign, and 95.3% in all types of cases. The results show that the proposed detection scheme achieves satisfactory detection performance and preferable compromises between sensitivity and false positive rates. |
| 文章类型 | Article |
| 关键词 | Breast Cancer Computer-aided Detection Mass Detection Morphological Component Analysis (Mca) Morphology Concentric Layer |
| 学科领域 | 信号与模式识别 |
| WOS标题词 | Science & Technology ; Technology ; Life Sciences & Biomedicine |
| DOI | 10.1109/TITB.2009.2036167 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | COMPUTERIZED DETECTION ; BREAST MASSES ; DENSITY ; TUMORS |
| 语种 | 英语 |
| WOS研究方向 | Computer Science ; Mathematical & Computational Biology ; Medical Informatics |
| WOS类目 | Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Medical Informatics |
| WOS记录号 | WOS:000275666100011 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/8583 |
| 专题 | 光谱成像技术研究室 |
| 通讯作者 | X. Gao |
| 作者单位 | 1.Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China 2.Chinese Acad Sci, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China 3.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore |
| 推荐引用方式 GB/T 7714 | Gao, Xinbo,Wang, Ying,Li, Xuelong,et al. On Combining Morphological Component Analysis and Concentric Morphology Model for Mammographic Mass Detection[J]. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE,2010,14(2):266-273. |
| APA | Gao, Xinbo,Wang, Ying,Li, Xuelong,Tao, Dacheng,&X. Gao.(2010).On Combining Morphological Component Analysis and Concentric Morphology Model for Mammographic Mass Detection.IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE,14(2),266-273. |
| MLA | Gao, Xinbo,et al."On Combining Morphological Component Analysis and Concentric Morphology Model for Mammographic Mass Detection".IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE 14.2(2010):266-273. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| On Combining Morphol（1608KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论